Software Engineering Manager - Perception Occupancy

Join Zoox's innovative Perception Object Detection and Tracking team, where we focus on the sophisticated perception of dynamic objects and individuals. In this pivotal role, you will collaborate directly with machine learning model teams to integrate state-of-the-art models into our vehicle technology stack.You will have unparalleled access to premier sensor data and a robust infrastructure designed for rigorous testing and validation of your algorithms. We are pioneering new algorithms for segmentation, tracking, classification, and high-level scene comprehension, and you will have the opportunity to contribute to any (or all!) of these critical components.

Join Zoox as a Senior/Staff Software Engineer specializing in Perception & Sensing, where you'll work alongside a talented team of engineers from various domains including AI, robotics, and computer vision. This role offers the opportunity to innovate and implement cutting-edge technologies, contribute to research initiatives, and enhance key systems that drive our vision forward. Your expertise will play a pivotal role in the development of algorithms, software, and solutions that enhance our autonomous vehicle technology.

Join our innovative team as a Senior / Staff 3D Engine Software Engineer - Simulation at Zoox. You will play a pivotal role in developing state-of-the-art 3D engine technology, contributing to groundbreaking simulation projects that enhance the capabilities of our autonomous vehicles.

About the Internship Zoox is seeking a Software Engineering Intern focused on Perception Data at our Foster City, CA location. This role supports the development of software that improves how our autonomous vehicles understand and interpret their surroundings. What You'll Work On Collaborate with engineers to build and refine perception systems for autonomous vehicles Contribute to software projects that help vehicles navigate safely and efficiently Work alongside experienced professionals committed to advancing autonomous technology

Join Zoox as a Senior Machine Learning Engineer specializing in Perception, where you will play a pivotal role in crafting and deploying state-of-the-art detection models that leverage integrated sensor data. This position focuses on pioneering projects tailored for the next generation of driving software, which includes developing joint detection and tracking models and innovating methods to transmit enriched embeddings to downstream models to enhance semantic understanding and uncertainty management.This unique opportunity allows you to significantly contribute to Zoox's venture into new horizons. By engineering more robust and adaptable models, you will aid in navigating complex and diverse scenarios, propelling our mission to achieve safe and dependable autonomous mobility. We seek an enthusiastic and driven individual who is eager to push the limits of perception technology in autonomous vehicles.

Join Zoox as a Machine Learning Engineer specializing in 3D vision perception! In this role, you will be at the forefront of developing cutting-edge technologies that empower autonomous vehicles to perceive and understand their environment in three dimensions. Utilize your expertise in machine learning and computer vision to create innovative solutions that enhance the safety and efficiency of our self-driving systems.

The Perception team at Zoox plays a pivotal role in advancing our autonomous vehicle technology by creating a sophisticated understanding of the world for our self-driving robots. Our expertise enables safe and efficient navigation through complex environments by leveraging advanced detection, classification, and tracking systems.As a Senior Software Engineer within the perception mapping team, you will be an integral player in Zoox’s online mapping initiatives. Your responsibilities will encompass designing, training, validating, and integrating machine learning models that accurately detect semantic elements within our environment. This role will engage you in all phases of ML development, including data collection, labeling, training, validation, and onboard integration. Your contributions will be crucial in achieving significant milestones in scaling and enhancing our autonomy capabilities, ultimately driving the success of Zoox.

Join the pioneering 3D Simulation team at Zoox, where we are redefining the boundaries between simulation and reality through innovative machine learning solutions. We are seeking talented Machine Learning Engineers who are passionate about leveraging cutting-edge research in 3D vision. In this role, you will have unparalleled access to world-class sensor data and a robust infrastructure that empowers you to test and validate your algorithms effectively. Collaborate with our ML experts to create dynamic and diverse 3D environments, including realistic human interactions and varying environmental conditions, making a significant impact on the future of autonomous vehicles.

At Replit, we empower creativity through our innovative software creation platform, allowing users to develop applications effortlessly using natural language. With a thriving community of millions and over 500,000 businesses leveraging our tools, we're on a mission to democratize software development by eliminating traditional barriers.Role Overview:We are seeking a Senior Staff Software Engineer focused on monetization systems to spearhead our initiatives in this critical area. This role is pivotal in ensuring that our monetization strategies not only drive business success but also enhance user satisfaction. Your contributions will shape essential user journeys, as we believe that a seamless billing experience is vital to our users' enjoyment and success.Your Responsibilities:Design and implement robust monetization systems that align with Replit’s objectives.Craft intuitive payment experiences that cater to both product-led and sales-led strategies.Develop new APIs and abstractions to enable fellow engineers to effectively monetize their products.Refine pricing strategies and packaging tactics, including coupon codes and referral systems, to maximize revenue potential.Establish monitoring and feedback systems to proactively identify and resolve issues while optimizing performance metrics.Qualifications:Minimum of 6 years of engineering experience with a strong emphasis on backend development.Proven expertise in one or more areas such as:Subscription platformsUsage-based billing systemsSaaS taxationPayment processing systemsTokenization solutionsSelf-motivated and able to thrive in dynamic, ambiguous environments.Exceptional problem-solving skills with a knack for debugging complex billing challenges.Experience in building user-friendly billing interfaces that simplify intricate pricing models.Technologies We Utilize:Proficient in Python, TypeScript, React, Postgres, GraphQL, and Node.js.

Role Overview Replit is looking for a Staff Software Engineer to join the Agent Platform team in Foster City, CA. This hybrid role requires in-office presence on Mondays, Wednesdays, and Fridays. The team builds features that help users create and collaborate on code with less friction. What You Will Do Design and develop new features for the Agent Platform Improve existing systems to support collaborative coding Work closely with other engineers to deliver reliable, scalable solutions Location Foster City, CA (Hybrid). In-office days are Monday, Wednesday, and Friday.

At Zoox, we are pioneering a revolution in personal transportation by crafting a future that is safer, cleaner, and more enjoyable for everyone. Our innovative vehicle is uniquely designed for navigating the complexities of dense urban environments. As the only vehicle on the market featuring bidirectional driving capabilities and four-wheel steering, we excel at maneuvering through tight spaces and changing directions seamlessly, eliminating the need for reversing. Join us in shaping the future of mobility!We are currently expanding our dynamic software engineering leadership team and seeking a visionary Director of Perception. In this pivotal role, you will oversee the development of Zoox’s state-of-the-art 3D environment model, utilizing multi-modal sensor data. Our team thrives on innovation, combining cutting-edge AI architectures with the latest academic advancements and our proprietary solutions. Your expertise will drive the optimization of our algorithms to ensure peak performance across a diverse range of real-world scenarios and simulations.As the Director of Perception, you will lead high-impact teams, guiding their technical roadmaps and setting milestone objectives. Collaboration will be key as you work alongside other AI and software leaders, simulation experts, and our systems design and mission assurance teams. Your mission will include delivering an exceptional dynamic object perception system that integrates various modalities such as vision, lidar, radar, and long-wave IR across complex pipelines including segmentation, detection, classification, fusion, and tracking. You'll manage a diverse and skilled team, tackling some of the most challenging problems in artificial intelligence, perception, and sensor fusion.

Join Replit as a Staff Software Engineer on our Enterprise Platform team. In this role, you will leverage your expertise to build robust and scalable software solutions that empower developers and businesses alike. Collaborate with cross-functional teams to shape the future of development platforms while working in a dynamic, creative environment.

Join the visionary Perception team at Zoox, where we are revolutionizing autonomous vehicle technology by creating an intricate understanding of our surroundings for self-driving robots. Our mission is to facilitate safe and efficient navigation within complex environments through advanced detection, classification, and tracking systems.As a pivotal software engineer on the perception mapping team, you will drive the development of Zoox's online mapping initiative. Your responsibilities will include designing, training, validating, and seamlessly integrating machine learning models that identify semantic map elements in real-world settings. You will engage in all facets of machine learning development, from data collection and annotation to training, validation, and onboard integration. Your contributions will be instrumental in achieving key milestones that enhance our scaling and autonomy capabilities, playing a crucial role in Zoox's success.

Zoox’s Perception and Mapping Data team develops the systems behind high-definition maps for autonomous vehicles. These maps are essential for safe operation and expansion into new cities, as well as for keeping current routes accurate and up to date. Role overview This Software Engineer position centers on building and improving mapping systems that support Zoox’s autonomous driving technology. The work involves both creating new maps for additional locations and maintaining the quality of existing ones. What you will do Design and implement large-scale algorithms and workflows for HD mapping Build and maintain data pipelines to process mapping data efficiently Collaborate with cross-functional teams to address real-world challenges in autonomous driving Improve the speed and efficiency of mapping new areas and updating current maps Requirements Interest in solving challenging technical problems related to autonomous vehicles Experience with mapping systems, large data pipelines, or similar technical domains is valuable Location This role is based in Foster City, CA.

Onsite in Foster City, CA | at least 3 days onsiteThe Perception team seeks a talented Machine Learning Engineer to innovate advanced Computer Vision modules, significantly enhancing the onboard perception capabilities of our robotic fleet. This position will directly influence safety and operational efficiency. The ideal candidate will engage in the complete design and development process, encompassing data collection, dataset creation, and the design and implementation of machine learning models. Key Responsibilities:Architect and develop in-cabin Computer Vision ML modules for critical safety and monitoring applications.Implement advanced Perception model architectures and sophisticated training methodologies.Create high-quality datasets utilizing inputs from our sensor stack and large-scale data.Validate and optimize solutions through real-world driving scenarios, directly enhancing the safety and reliability of our autonomous systems. Essential Qualifications:Bachelor's Degree in Computer Science or Computer Engineering with a minimum of 4 years of relevant experience.Proficient in modern Computer Vision and Machine Learning, especially in areas like 3D reconstruction, detection, classification, and semantic segmentation.Experience in training and deploying Deep Learning models.Strong programming skills in C++ and/or Python.Exceptional communication abilities. Preferred Qualifications:Familiarity with any of the following:Experience in the self-driving industry.Expertise in integrating ML models within latency-sensitive systems.Proficiency in CUDA programming. Employee Benefits:Comprehensive Health Care Plan (Medical, Dental, and Vision).Life Insurance (Basic and Voluntary, including AD&D).Generous Paid Time Off (Vacation, Sick Leave, and Public Holidays).Opportunities for Training and Development.Retirement Plan options (401k, IRA).

Join the innovative Perception team at Zoox, where we harness the power of Generative AI to produce synthetic data that revolutionizes the training and evaluation of our autonomous systems. As a Machine Learning Engineer specializing in Generative AI, you will be at the cutting edge of developing and training advanced models for sensor-level scenario generation. By utilizing world models and radiance field techniques alongside our extensive proprietary datasets, your work will have a direct impact on enhancing the productivity, safety, and capabilities of Zoox's autonomous systems through real-world algorithm validation.

At Zoox, we’re pioneering the future of transportation by developing an innovative autonomous ride-hailing service that will redefine mobility. Our Operations Tools team serves as the critical backbone of this initiative, and we are on the lookout for a highly skilled Staff Software Engineer to step into a leadership role within this influential sector. This position transcends traditional full-stack development; you will navigate the fascinating intersection of web development, robotics, and real-time operational systems, crafting the software that enables us to effectively manage and expand our fleet of autonomous robotaxis. If you are an experienced engineer who excels at tackling complex, interdisciplinary challenges and desires to make a meaningful impact in the world, we invite you to connect with us.

Join Zoox as a Machine Learning Engineer Intern in Perception and gain invaluable hands-on experience with cutting-edge technology while working alongside industry-leading experts. Our internship program is designed for outstanding students who exhibit exceptional academic performance, extracurricular involvement, and a genuine passion for our mission at Zoox. As part of the Perception team, you will contribute to the development of systems that empower our autonomous vehicles to understand their surroundings. You will have the opportunity to work in one of several dynamic teams, focusing on multimodal models, scene understanding, vehicle recognition, and hazard detection, all while utilizing state-of-the-art machine learning techniques and real-world data.

High-definition maps are essential for ensuring safe and scalable autonomous driving. We are on the lookout for driven engineers who are enthusiastic about tackling intricate, real-world challenges while developing cutting-edge mapping systems.This position involves collaborating with a diverse and cross-functional team to design and implement extensive HD mapping algorithms, workflows, and data pipelines. Your contributions will significantly enhance our capability to efficiently map new urban areas and continuously update existing maps on a large scale, playing a pivotal role in expediting our autonomous vehicle deployment.